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Related Experiment Video

Updated: Feb 5, 2026

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

Autoalgometry: An Important Tool for Pressure Pain Threshold Evaluation.

Letizia Lorusso¹, Monica Salerno², Francesco Sessa³

¹Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84081 Baronissi, Italy. liveflame@hotmail.it.

Journal of Clinical Medicine

|September 15, 2018

Summary

Autoalgometry offers a precise method for measuring the pain threshold. This technique reveals a direct link between the rate of pressure increase and the measured pain threshold, proving valuable for research.

Keywords:

autoalgometry gender pain threshold test speed

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Area of Science:

Pain research
Neuroscience
Biomedical engineering

Background:

The pain threshold quantifies the intensity of a stimulus that elicits pain.
Current methods often involve external application of stimuli to determine pain threshold.
Objective and reliable pain threshold measurement is crucial for clinical and research applications.

Purpose of the Study:

To evaluate autoalgometry as a method for determining the pressure pain threshold.
To investigate the influence of stimulation rate on pain threshold measurement.
To assess the impact of gender and stimulation site on autoalgometric pain threshold.

Main Methods:

Utilized a pressure algometry technique where participants controlled stimulus intensity.
Employed autoalgometry to record stimulus intensity over time, measuring force application rate.
Conducted tests with 50 healthy volunteers over two days, varying stimulation rates (fast vs. slow).

Main Results:

Demonstrated a positive correlation between the pressure increase rate and the evaluated pressure pain threshold.
Autoalgometry allowed for the study of subject behavior as they approached pain perception.
Findings suggest stimulation rate influences pain threshold measurements.

Conclusions:

Autoalgometry is proposed as an objective and effective technique for measuring pressure pain threshold.
The study highlights the importance of considering stimulation rate in pain threshold assessments.
Autoalgometry holds potential for both clinical diagnostics and scientific research in pain perception.